Evidence map›Paper›PMID 39334277›Full record

ArticleBMC health services research2024

What influences the use of HR analytics in Human Resource management in Norwegian municipal health care services?

Kirsti Sarheim Anthun, Kjartan Sarheim Anthun, Erna Håland, Monica Lillefjell

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kirsti Sarheim AnthunDepartment of Health Research, SINTEF Digital, Trondheim, Norway. kirsti.sarheim.anthun@sintef.no.
Kjartan Sarheim AnthunDepartment of Health Research, SINTEF Digital, Trondheim, Norway.
Erna HålandDepartment of Education and Lifelong Learning, Norwegian University of Science and Technology, Trondheim, Norway.
Monica LillefjellDepartment of Neuromedicine and Movement Science, Norwegian University of Science and technology, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe centrality of human resources in the provision of healthcare suggests that Human Resource (HR) management and the use of Human Resource analytics - use of digital data to better understand, assess, plan and organize the workforce - can play an important role in this. However, data driven decision making in the field of human resource management is lagging, and the appropriation of HR analytics in the healthcare sector is limited.

aimThe current study explores the role of HR departments and the adoption of Human Resource analytics in four municipalities in Norway to obtain insights into what influences the use or lack of use of HR analytics.

methodsEmpirical data were generated through qualitative interviews with fourteen individuals working in HR departments, the municipal administration, and the healthcare services. Structurational theory guided the analysis. The findings show that none of the municipalities made extensive use of data to inform decision making related to human resource management or workforce planning. RESULTS AND

conclusionThree conditions hampered or made irrelevant the use of HR analytics: a decoupling between the services and HR, a weak data-culture, and HR and decision-making processes involving a plurality of stakeholders. However, there were changes underway in all municipalities related to the role of HR and HR analytics.

Indexed as

Qualitative ResearchDecision MakingHealth WorkforceHumansInterviews as TopicNorwayPersonnel ManagementHuman resource analyticsMunicipal health care servicesNorwayStructuration theoryWorkforce planning

Identifiers

PMID39334277
PMCPMC11429618

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.